niall-twomey's repositories
recommender_metrics
This is a very basic package with implementions of several popular recommendation metrics.
allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Anomaly-Transformer
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
beta3_IRT
Source code of $\beta^3$-IRT(https://arxiv.org/abs/1903.04016)
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
das3h
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills
DPPy
Python toolbox for sampling Determinantal Point Processes
gpirt
Provides an MCMC sampler and related tools for a Gaussian Process IRT model
har_datasets
A repository for unified analysis of accelerometer-based human activity recognition.
learner-performance-prediction
Simple and performant implementations of learner performance prediction algorithms.
lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
PoPPy
A Point Process Toolbox Based on PyTorch
py-irt
Bayesian IRT models in Python
pytorch-fm
Factorization Machine models in PyTorch
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
rankfm
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
spotlight
Deep recommender models using PyTorch.
ts2vec
A universal time series representation learning framework
variational-item-response-theory-public
A PyTorch implementation of "Variational Item Response Theory: Fast Accurate, and Expressive"